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Software Engineering Lead Analyst - HIH hyderabad

Cigna Group

Skills

Required

  • Platform Engineering
  • Observability Engineering
  • Infrastructure Engineering
  • Site Reliability Engineering
  • Elastic Stack
  • Elasticsearch
  • Python
  • Kibana
  • Elastic Agents
  • APM
  • OpenTelemetry
  • Distributed Tracing
  • Metrics Collection
  • Log Analytics
  • Alerting

Preferred

  • Logstash
  • Beats
  • Linux administration
  • REST APIs
  • telemetry integrations
  • Bash
  • Airflow
  • PostgreSQL
  • Docker / Kubernetes
  • Apache Airflow

Lead Analyst Evernorth, a leading Health Services company, is looking for exceptional engineers/developers in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products. The ideal candidate will work in a team environment that demands technical excellence, whose members are expected to hold each other accountable for the overall success of the end product.

About Cigna Group

  • Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality.
  • We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people.
  • Join us in driving growth and improving lives.

Responsibilities

  • Focus for this team is on the delivery of innovative solutions to complex problems, but also with a mind to drive simplicity in refining and supporting of the solution by others.
  • Elastic Platform Administration Administer and support a production self-hosted Elastic Stack environment.
  • Elasticsearch, Kibana, Logstash, Elastic Agents, and supporting platform components.
  • Perform cluster health monitoring, troubleshooting, capacity planning, and performance optimization.
  • Configure and maintain Index Lifecycle Management (ILM), retention policies, shard allocation strategies, and storage management.
  • Execute platform upgrades, patching activities, and lifecycle management.
  • Implement and maintain backup, recovery, and disaster recovery procedures.
  • Observability Engineering Design and implement telemetry collection solutions for applications, databases, and infrastructure platforms.
  • Integrate operational data from sources such as: Apache Airflow PostgreSQL Linux Servers APIs and Services On-Premises Infrastructure Future Hybrid Cloud Platforms Develop and maintain custom ingestion pipelines using Logstash, Elastic Agents, Beats, and OpenTelemetry collectors.
  • Ensure reliable collection and delivery of logs, metrics, and traces.
  • Monitoring & Alerting Create operational dashboards, alerts, and monitoring solutions within Kibana.
  • Develop automated alerting capabilities for application, infrastructure, and platform health monitoring.
  • Configure anomaly detection jobs and rule-based alerting to proactively identify issues.
  • Collaborate with application teams to define meaningful operational metrics and alert thresholds.
  • Continually improve observability coverage across supported platforms.
  • Performance Monitoring (APM) Configure and maintain Elastic APM instrumentation across supported applications.
  • Monitor application performance, latency, throughput, and error rates.
  • Analyze distributed traces to identify bottlenecks and performance concerns.
  • Develop Kibana dashboards that provide actionable performance insights for engineering teams.
  • Support adoption of OpenTelemetry standards and best practices.
  • Platform Reliability & Optimization Optimize Elasticsearch cluster performance and resource utilization.
  • Monitor index growth, storage consumption, and ingestion rates.
  • Support infrastructure hosting Elastic clusters, including servers, storage, and platform resources.
  • Evaluate opportunities to improve operational efficiency and reduce platform costs.
  • Assist with future migrations and integrations supporting hybrid deployment models.

Requirements

  • 5-8 years of experience in Platform Engineering, Observability Engineering, Infrastructure Engineering, Site Reliability Engineering, or related fields.
  • 4+ years of hands-on experience administering production Elastic Stack environments.
  • Experience supporting self-hosted Elasticsearch clusters.
  • Python, Elasticsearch, Kibana, Elastic Agents and APM, OpenTelemetry, Distributed Tracing, Metrics Collection, Log Analytics, Alerting & Monitoring.

Preferred

  • Elasticsearch Kibana Logstash Elastic Agents Beats Experience building custom log and telemetry ingestion pipelines.
  • Experience implementing monitoring, alerting, and anomaly detection solutions.
  • Experience with Linux administration.
  • Experience working with REST APIs and telemetry integrations.
  • Experience with Python, Bash, or similar scripting languages.
  • Experience implementing Elastic APM solutions.
  • Experience with OpenTelemetry.
  • Experience collecting observability data from Airflow, PostgreSQL, and distributed applications.
  • Experience supporting hybrid cloud environments.
  • Familiarity with AWS services and cloud observability practices.
  • Experience with Docker or Kubernetes environments.
  • Knowledge of infrastructure monitoring and capacity planning.
  • Elastic Certified Observability Engineer certification is a plus.

Location

& Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.